Dynamic data modelling

Large data sets and dynamic modelling now penetrate all areas of research, yet a paucity of required expertise curtails full use of the rapidly growing data-based science. Academy of Finland funded Profi5/HiDyn project (active in 2020-2025) is set up as a hub that extends University of Oulu´s high expertise in multidisciplinary data science and AI to serve a broader range of disciplines, with a focus on Bayesian predictive analytics and machine vision.

Profi5/HiDyn is targeted to strongly benefit all our profiling areas and the 6G Flagship in their tasks to address global challenges (topics include climate change, arctic ecosystems, wireless sensors and disease prediction), and it will increase research-based development and know-how in the surrounding company ecosystem and in society. The research is carried out by transcending faculty boundaries.
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Research themes

Profi5/HiDyn consists of interdisciplinary study groups between the Research unit of Mathematical Sciences and other units in the University of Oulu, where each study group has a Profi5/HiDyn funded postdoctoral researcher or a doctoral student position. The study groups and their fields of application are the following.

Physics and chemistry

Biology and medicine

Technology and engineering

Tenure-track

Profi5/HiDyn funds tenure-track positions at the Research Unit of Mathematical Sciences and the Center for Machine Vision and Signal Analysis with associated doctoral student and postdoctoral researcher positions. 

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